A Unified Toolkit for Deep Learning Based Document Image Analysis

Framework agnostic sliced/tiled inference + interactive ui + error analysis plots

(CVPR 2021 Oral) Open World Object Detection

[CVPR 2020] CenterMask : Real-time Anchor-Free Instance Segmentation

This is Pytorch re-implementation of our CVPR 2020 paper "Panoptic-DeepLab: A Simple, Strong, and Fast Baseline for Bottom-Up Panoptic Segmentation" (https://arxiv.org/abs/1911.10194)

This repo is implemented based on detectron2 and centernet

SparseInst: Sparse Instance Activation for Real-Time Instance Segmentation, CVPR 2022

Deep Occlusion-Aware Instance Segmentation with Overlapping BiLayers [CVPR 2021]

EntitySeg Toolbox: Towards Open-World and High-Quality Image Segmentation

A fork of Detectron2 with ResNeSt backbone

[CVPR 2020] VoVNet backbone networks for detectron2

A PyTorch implementation of PointRend: Image Segmentation as Rendering

[CVPR 2022] MPViT:Multi-Path Vision Transformer for Dense Prediction

A PyTorch reimplementation of bottom-up-attention models

detectron2 windows build

detectron2 backbone: resnet18, efficientnet, hrnet, mobilenet v2, resnest, bifpn

GDR-Net: Geometry-Guided Direct Regression Network for Monocular 6D Object Pose Estimation. (CVPR 2021)

Boundary-preserving Mask R-CNN (ECCV 2020)

Instance segmentation for anime characters based on CondInst and SOLOv2

Detectron2 for Document Layout Analysis